Linked Life Data

11856582

Source:http://linkedlifedata.com/resource/pubmed/id/11856582

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2002-2-21
pubmed:abstractText
The performance of clinical signs as a diagnostic test for the detection of classical swine fever (CSF) outbreaks during the 1997-1998 CSF epidemic in The Netherlands was evaluated by constructing and analysing a receiver operating characteristic (ROC) curve. This curve assesses the discriminating ability of a diagnostic test over a range of test signals. The cut-off values for a defined diagnostic test to detect CSF outbreaks were set by different combinations of clinical signs observed. The area under the ROC curve, which is a quantitative measure of test performance, was significantly (P<0.001) larger than the area under the random ROC curve. This indicates that clinical signs have a significantly higher performance as a diagnostic test for the detection of CSF than for flipping a coin. However, the gain in diagnostic performance compared to a random process is not as much as we would wish it to be. The optimal efficient diagnostic test combined a sensitivity of 72.7% with a specificity of 52.7%, with a combination of the following clinical signs: unsteady gait/ataxia, not eating, not reacting to antibiotic treatment, conjunctivitis, hard faecal pellets.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0378-1135
pubmed:author
pubmed:issnType
Print
pubmed:day
2
pubmed:volume
85
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
323-32
pubmed:dateRevised
2003-11-14
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Quantitative assessment of clinical signs for the detection of classical swine fever outbreaks during an epidemic.
pubmed:affiliation
Epidemiology Unit, Animal Health Service, P.O. Box 9, 7400 AA Deventer, The Netherlands. a.elbers@gdvdieren.nl
pubmed:publicationType
Journal Article